This paper illustrates an innovative methodology for post-earthquake collapsed building recognition, based on satellite-image classification methodologies and height variation information. Together, the techniques create a robust classification that seems to yield good results in this application field. In the first part of this study, two different feature extraction methodologies were compared, based respectively on pixel-based and object-oriented approaches. Then the classification results of the most accurate classification methodology, obtained on an eight band WorldView-2 monoscopic image, were completed with height variation information before and after the event. The height difference is calculated, comparing a photogrammetric DSM, obtained using a photogrammetric rigorous orbital model on some EROS-B 0.7 metre across-track stereopairs with a 'roof model' before the earthquake.

Automatic three-dimensional features extraction: The case study of L'Aquila for collapse identification after April 06, 2009 earthquake / Baiocchi, Valerio; Raffaella, Brigante; Donatella, Dominici; Milone, Maria Vittoria; Mormile, Martina; Fabio, Radicioni. - In: EUROPEAN JOURNAL OF REMOTE SENSING. - ISSN 2279-7254. - 47:1(2014), pp. 413-435. [10.5721/eujrs20144724]

Automatic three-dimensional features extraction: The case study of L'Aquila for collapse identification after April 06, 2009 earthquake

BAIOCCHI, VALERIO;MILONE, MARIA VITTORIA
;
MORMILE, MARTINA;
2014

Abstract

This paper illustrates an innovative methodology for post-earthquake collapsed building recognition, based on satellite-image classification methodologies and height variation information. Together, the techniques create a robust classification that seems to yield good results in this application field. In the first part of this study, two different feature extraction methodologies were compared, based respectively on pixel-based and object-oriented approaches. Then the classification results of the most accurate classification methodology, obtained on an eight band WorldView-2 monoscopic image, were completed with height variation information before and after the event. The height difference is calculated, comparing a photogrammetric DSM, obtained using a photogrammetric rigorous orbital model on some EROS-B 0.7 metre across-track stereopairs with a 'roof model' before the earthquake.
2014
L'Aquila earthquake; world-view-2; collapses; image classification; eros-b
01 Pubblicazione su rivista::01a Articolo in rivista
Automatic three-dimensional features extraction: The case study of L'Aquila for collapse identification after April 06, 2009 earthquake / Baiocchi, Valerio; Raffaella, Brigante; Donatella, Dominici; Milone, Maria Vittoria; Mormile, Martina; Fabio, Radicioni. - In: EUROPEAN JOURNAL OF REMOTE SENSING. - ISSN 2279-7254. - 47:1(2014), pp. 413-435. [10.5721/eujrs20144724]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/573774
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